Update README.md

README.md

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-Here is our first version dataset.
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+
+**MINT-V2X (Mobility-Integrated Network Trajectory Dataset for V2X Systems)** is a large-scale dataset designed for research on **vehicle-to-everything (V2X) communication, mobility-aware networking, and intelligent transportation systems (ITS)**.
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+The dataset integrates **vehicle trajectory dynamics with wireless network measurements**, enabling predictive modeling of **vehicle mobility, network quality, and RSU resource demand**.
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+Unlike existing datasets that provide either **vehicle trajectories** or **network statistics** independently, **MINT-V2X provides synchronized mobility and communication data**, allowing researchers to study interactions between **vehicle movement, wireless channel quality, and network load**.
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+---
+
+# Dataset Overview
+
+MINT-V2X contains nearly **10 million synchronized records** generated from a realistic **urban V2X simulation environment**.
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+| Property | Value |
+|--------|------|
+| Vehicles | 1,386 |
+| Total records | 9,873,977 |
+| Simulation duration | 3 hours |
+| Sampling rate | 10 Hz (100 ms) |
+| Features per record | 29 |
+| Spatial coverage | 61.19 km² |
+| RSU deployment | 15 roadside units (5×3 grid) |
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+Each record corresponds to a **vehicle–timestep observation**, capturing both **vehicle mobility state and wireless network conditions**.
+
+---
+
+# Dataset Features
+
+Each data sample includes **29 features** spanning four main categories.
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+## 1. Vehicle Trajectory
+- Position `(x, y, z)`
+- Velocity
+- Acceleration
+- Heading angle
+- Lane identifier
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+## 2. Network State
+- RSU association (cell ID)
+- Distance to RSU
+- Neighbor vehicle count
+- Signal-to-Interference-plus-Noise Ratio (SINR)
+- Received signal power
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+## 3. Physical Layer Metrics
+- Channel Quality Indicator (CQI)
+- Modulation and Coding Scheme (MCS)
+- Packet Delivery Ratio (PDR)
+- Channel Busy Ratio (CBR)
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+## 4. Communication Performance
+- Throughput
+- End-to-end latency
+- Handover events
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+These features enable **joint modeling of vehicle mobility and wireless network performance**.
+
+---
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+# Dataset Generation Pipeline
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+The dataset is generated through a **three-layer co-simulation architecture**.
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+### Traffic Simulation — SUMO
+Generates realistic vehicle trajectories using urban traffic models.
+
+### Middleware — Veins
+Synchronizes traffic and communication simulators via the TraCI interface.
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+### Network Simulation — OMNeT++ / Simu5G
+Computes wireless metrics such as:
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+- SINR
+- CQI
+- PDR
+- Throughput
+- Latency
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+All data is recorded at **10 Hz temporal resolution**, ensuring precise synchronization between mobility and network states.
+
+---
+
+# Validation Framework
+
+The dataset was validated using a **14-point validation framework** referencing:
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+- **3GPP C-V2X standards**
+- **ETSI congestion control specifications**
+- **Shannon information theory**
+
+Key validations include:
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+- SINR range: **−5 dB to +25 dB**
+- CQI–SINR correlation: **0.993**
+- SINR–PDR correlation: **0.946**
+- Connectivity ratio: **99.78%**
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+These tests confirm that the simulated network metrics follow **physically consistent wireless communication behavior**.
+
+---
+
+# Research Applications
+
+MINT-V2X supports research in several areas of **vehicular networking and intelligent transportation systems**, including:
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+- Vehicle trajectory prediction
+- Mobility-aware network traffic prediction
+- RSU load forecasting
+- Handover optimization
+- Proactive resource allocation
+- Multi-agent V2X communication modeling
+- Mobility-communication co-learning models
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+The dataset particularly enables **mobility-aware RSU resource prediction**, where future network demand is estimated from predicted vehicle trajectories.
+
+---
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